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Computational Forensic Linguistics: an Overview of Computational Applications in Forensic Contexts Rui Sousa-Silva Universidade Do Porto, Portugal Abstract

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Computational Forensic Linguistics: an Overview of Computational Applications in Forensic Contexts Rui Sousa-Silva Universidade Do Porto, Portugal Abstract View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Repositório Aberto da Universidade do Porto Computational Forensic Linguistics: An Overview of Computational Applications in Forensic Contexts Rui Sousa-Silva Universidade do Porto, Portugal Abstract. The number of computational approaches to forensic linguistics has increased signicantly over the last decades, as a result not only of increasing computer processing power, but also of the growing interest of computer scientists in natural language processing and in forensic applications. At the same time, forensic linguists faced the need to use computer resources in both their research and their casework – especially when dealing with large volumes of data. This ar- ticle presents a brief, non-systematic survey of computational linguistics research in forensic contexts. Given the very large body of research conducted over the years, as well as the speed at which new research is regularly published, a sys- tematic survey is virtually impossible. Therefore, this survey focuses on some of the studies that are relevant in the eld of computational forensic linguistics. The research cited is discussed in relation to the aims and objectives of the linguistic analysis in forensic contexts, paying particular attention to both their potential and their limitations for forensic applications. The article ends with a discussion of future implications. Keywords: Computational forensic linguistics, computational linguistics, authorship analysis, plagiarism, cybercrime. Resumo. O recurso a abordagens computacionais na área da linguística forense aumentou drasticamente ao longo das últimas décadas, decorrente, não só ao au- mento das capacidades de processamento dos computadores, mas também do in- teresse crescente de especialistas do ramo das ciências de computadores no pro- cessamento de linguagem natural e nas suas aplicações forenses. Simultanea- mente, os linguistas forenses depararam-se com a necessidade de utilizar recursos informáticos, tanto nos seu trabalho de investigação, como nos seus casos de con- sultoria forense, sobretudo tratando-se do processamento de grandes volumes de dados. Este artigo apresenta uma revisão breve, não sistemática, da investigação cientíca em linguística computacional aplicada a contextos forenses. Tendo em conta o elevado volume de investigação publicada, bem como o ritmo acelerado de publicação nesta área, a realização de uma revisão bibliográca sistemática é praticamente impossível. Por conseguinte, esta revisão foca alguns dos estudos mais relevantes na área da linguística forense computacional. Os estudos men- cionados são discutidos no âmbito das metas e dos objetivos da análise linguística Sousa-Silva, R. - Computational Forensic Linguistics: An Overview Language and Law / Linguagem e Direito, Vol. 5(2), 2018, p. 118-143 em contextos forenses, prestando-se atenção especialmente ao seu potencial e às suas limitações no tratamento de casos forenses. O artigo termina com uma dis- cussão de algumas das implicações futuras da computação em aplicações forenses. Palavras-chave: Linguística forense computacional, linguística computacional, análise de auto- ria, plágio, cibercrime. Introduction Forensic Linguistics has attracted signicant attention ever since Svartvik (1968) pub- lished ‘The Evans Statements: A Case for Forensic Linguistics’ (Svartvik, 1968), not the least because the analysis reported by the author showed the true potential of linguis- tic analysis in forensic contexts. Since then research into – and the use of – forensic linguistics methods and techniques have multiplied, and so has the range of possible ap- plications. Indeed, the three subareas identied by Forensic Linguistics in a broad sense – the written language of the law, interaction in legal contexts and language as evidence (Coulthard and Johnson, 2007; Coulthard and Sousa-Silva, 2016) – have been furthered, and extended to a plethora of other applications all over the world; the written language of the law came to include applications other than studying the complexity of legal lan- guage; interaction in legal contexts has signicantly evolved, and now focuses on any kind of interaction in legal contexts – including attempts to identify the use of deceptive language (Gales, 2015), or ensure appropriate interpreting (Kredens, 2016; Ng, 2016); and language as evidence has gained a reputation of robustness and reliability, with further research on disputed meanings (Butters, 2012), the application of methods of authorship analysis in response to new needs (e.g. cybercriminal investigations), and an attempt to develop new theories, e.g. authorship synthesis (Grant and MacLeod, 2018). It is perhaps as a result of the need to respond to new problems arising from the development of new information and communication technologies that language as ev- idence continues to be the most visible ‘face’ of Forensic Linguistics. The technological advances of the last decades have opened up new possibilities for forensic linguistic anal- ysis: new forms of online interaction have required new forms of computer-mediated discourse analysis (Herring, 2004), and synchronous and immediate forms of commu- nication such as the ones provided by online platforms have allowed users to commu- nicate with virtually anyone based anywhere in the world and at any time from any mobile device, while replacing face-to-face with online interaction. At the same time, such technologies oered new anonymisation possibilities, both real and perceived. If, on the one hand, using stealth technologies and un-monitored, unsupervised public com- puters and networks grants users some level of real anonymity, on the other hand that anonymity is very often only perceived, rather than real. As such, although users can be easily identied – especially by law and order enforcement agents – the fact that they perceive themselves to remain anonymous behind the computer keyboard or the mobile phone display (e.g. by using fake proles) encourages them to practice illegal acts that most people refrain from doing when face-to-face, including hate crimes, threats, libel and defamation, fraud, infringement of intellectual property, stalking, harassment and bullying. Therefore, not only have such developments raised new (and exciting) challenges for forensic linguists, they have also demonstrated that new tools and techniques are required to handle data collection, processing and (linguistic) analysis quickly and ef- 119 Sousa-Silva, R. - Computational Forensic Linguistics: An Overview Language and Law / Linguagem e Direito, Vol. 5(2), 2018, p. 118-143 ciently. That is especially the case with large volumes of data, in which the linguist needs to face the ‘big data’ challenge, which consists of managing huge volumes of text. In fact, large volumes of data make it virtually impossible for linguists to manually pro- cess and analyse the data quickly and accurately. Therefore, they usually resort to the use of computational tools. Such an analysis can be heavily computational, i.e. it can be conducted with no or very little human intervention, or computer-assisted, in which computational tools and techniques are used as an aid to the manual analysis, e.g. in searching words or phrases, or comparing some textual elements against a reference corpus or tagging a text, among others. The use of computational linguistics in forensic contexts has become so indispens- able that it has given rise to the eld of computational forensic linguistics. However, the meaning of the concept of computational forensic linguistics, like the concept of com- putational linguistics, is far from agreed, and people from dierent areas of expertise tend to conceive of the area dierently. This article thus begins with a discussion of the concept and proposes a working denition to encompass work conducted by com- puter scientists on natural language processing, that is most helpful to forensic linguists. Subsequently, it presents a survey of methods and techniques that have contributed to forensic applications, including authorship analysis, plagiarism detection and disputed meanings. The article concludes with a discussion of both the potential and the limita- tions of computational analysis to argue that, although a purely computational analysis can be extremely valuable in forensic contexts, ultimately such an analysis can only be acceptable as an evidential or even an investigative tool when interpreted by a linguist. Dening computational forensic linguistics Woolls (2010: 576) denes computational forensic linguistics concisely as “a branch of computational linguistics” (CL), a discipline which Mitkov (2003: ix) had previously de- ned as “an interdisciplinary eld concerned with the processing of language by com- puters”. CL, although bearing a dierent name, originated in the 1940s with the work of Weaver (1955), especially based on his suggestion of the possibilities of machine trans- lation. Over time, CL contributed to an array of applications across dierent usage do- mains, most of which can be potentially useful to forensic linguists, including machine translation, terminology, lexicography, information retrieval, information extraction, grammar checking, question answering, text summarisation, term extraction, text data mining, natural language interfaces, spoken dialogue systems, multimodal/multimedia systems, computer-aided language learning, multilingual online language processing, speech recognition, text-to-speech
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